thoglu / jammy_flows
A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an autoregressive structure.
☆42Updated last week
Alternatives and similar repositories for jammy_flows:
Users that are interested in jammy_flows are comparing it to the libraries listed below
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated last month
- A system for scientific simulation-based inference at scale.☆163Updated 11 months ago
- Things that make me feel productive☆14Updated 2 years ago
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆89Updated last week
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆66Updated 8 months ago
- Simulation-based inference in JAX☆31Updated 3 weeks ago
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆52Updated last year
- Gravitational-wave data analysis tools in Jax☆66Updated this week
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆108Updated last year
- Provides differentiable versions of common HEP operations and objectives.☆24Updated last year
- Probabilistic Programming and Nested sampling in JAX☆170Updated 3 months ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆31Updated last year
- Unleash the true power of scheduling☆28Updated last month
- differentiable (binned) likelihoods with JAX☆19Updated 3 weeks ago
- ☆24Updated last year
- Community-sourced list of papers and resources on neural simulation-based inference.☆110Updated last month
- nessai: Nested Sampling with Artificial Intelligence☆38Updated last week
- ☆21Updated last year
- Differentiable and accelerated spherical transforms with JAX☆146Updated this week
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆221Updated this week
- Machine learning–based inference toolkit for particle physics☆86Updated 4 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆124Updated 6 months ago
- Dingo: Deep inference for gravitational-wave observations☆78Updated this week
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆60Updated last month
- A Jax wrapper for cudaKDTree☆10Updated last year
- madjax☆14Updated 3 months ago
- ☆16Updated 2 years ago
- JAX bindings for the NVIDIA cuDecomp library☆32Updated last week
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆15Updated last year